setPredictType {mlr}R Documentation

Set the type of predictions the learner should return.

Description

Possible prediction types are: Classification: Labels or class probabilities (including labels). Regression: Numeric or response or standard errors (including numeric response). Survival: Linear predictor or survival probability.

For complex wrappers the predict type is usually also passed down the encapsulated learner in a recursive fashion.

Usage

setPredictType(learner, predict.type)

Arguments

learner

(Learner | character(1))
The learner. If you pass a string the learner will be created via makeLearner.

predict.type

(character(1))
Classification: “response” or “prob”. Regression: “response” or “se”. Survival: “response” (linear predictor) or “prob”. Clustering: “response” or “prob”. Default is “response”.

Value

Learner.

See Also

Other predict: asROCRPrediction, getPredictionProbabilities, getPredictionResponse, getPredictionTaskDesc, predict.WrappedModel, setPredictThreshold

Other learner: LearnerProperties, getClassWeightParam, getHyperPars, getLearnerId, getLearnerNote, getLearnerPackages, getLearnerParVals, getLearnerParamSet, getLearnerPredictType, getLearnerShortName, getLearnerType, getParamSet, helpLearnerParam, helpLearner, makeLearners, makeLearner, removeHyperPars, setHyperPars, setId, setLearnerId, setPredictThreshold

[Package mlr version 2.16.0 Index]